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Everything about Digital image processing

Algorithmic processing of digitally-represented images

Digital image processing is the use of a digital computer to process digital images through an algorithm. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and distortion during processing. Since images are defined over two dimensions, digital image processing may be modeled in the form of multidimensional systems. The generation and development of digital image processing are mainly affected by three factors: first, the development of computers; second, the development of mathematics ; and third, the demand for a wide range of applications in environment, agriculture, military, industry and medical science has increased. Wikipedia →

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  1. Read the overview: Digital image processingA 5-minute orientation
  2. Skim a recent paper: Deep learning models for digital image processing: a reviewInfluential work since 2022
  3. Pick up a classic book: Digital image processingThe most-reprinted book on the subject
  4. Read the landmark paper: Digital Image ProcessingCited 221 times
  5. Go sideways: Digital imageA closely related topic
  6. Go sideways: Outline of computer visionA closely related topic

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🗂️ The subject at a glance

  1. History
  2. Tasks
  3. Digital image transformations
  4. Applications
  5. Challenges

🏆 Landmark papers (most cited)

🆕 Influential since 2022

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